Senior AI Engineer (all genders)

What you will find with us

We are a technical, implementation-oriented spin-off of a global management consultancy. Our clients are primarily DAX and Fortune Global 500 companies, which we advise on issues in the areas of analytics, big data and machine learning. Within the group, we take on the development of individual and data-driven solutions in order to transform our clients into AI-powered companies. We offer an international working environment with agile teams and creative startup methods as well as above-average remuneration and numerous additional benefits. With our offices in Hamburg, Munich and Düsseldorf and our hub locations in all other major German cities (Berlin, Frankfurt and Stuttgart), we ensure that all colleagues are integrated into our team of experts across Germany.

As an Senior AI Engineer at Eraneos, you’ll combine the worlds of data science, machine learning, software engineering and consulting. Your mission is to develop and operationalize AI models that deliver measurable impact for our clients. You collaborate closely with stakeholders to understand business problems, transform
them into data-driven approaches, and translate insights into production-ready end-to-end solutions. You’ll design, implement, and evaluate AI- and ML use cases– from classical ML to cutting-edge LLMs – and
ensure their robust deployment and monitoring in real-world environments. Alongside building prototypes,
you focus on MLOps practices, software development, and integration, ensuring reproducibility, scalability,
and continuous improvement of AI systems. You communicate your results with clarity and confidence to
technical and non-technical audiences alike, making complex solutions understandable and actionable. You
enjoy thinking beyond the short-term implementation level to create lasting impact for our clients’ business.

Who you are

• You have proven experience in data science, statistics, machine learning, software engineering, and / or appliedAI projects
• Python Proficiency: You are fluent in Python, comfortably using state-of-the-art and commonplace (ML-)frameworks and libraries
• MLOps & Deployment: You are experienced with model serving, monitoring, and CI/CD workflows (e.g. MLflow, Airflow, Docker, GitHub Actions)
• Software Skills: You write clean, maintainable code and can structure projects using modern software engineering practices (FastAPI, SQLAlchemy, Pydantic)
• AI & NLP Expertise: You have hands-on experience with NLP and LLMs such as GPT, Claude, Gemini,Llama or Deepseek
• Data Engineering Basics: SQL and working with databases are natural to you; you know how to design efficient pipelines for training and inference
• Cloud Experience: You are familiar with ML stacks on AWS, Azure, or Google Cloud
• You speak fluent German (at least B2) and English

Who we are

• Be part of an exciting and fast-paced AI-focused company
  • Enjoy flexible working hours and locations, including remote options
  • Work in a supportive, flat-hierarchy environment with experienced international colleagues
  • Participate in memorable company-wide events, both local and international
  • Benefit from perks like a company bike, subsidized fitness memberships (EGYM Wellpass), and more
  • Targeted and individual training for your professional and personal development
  • A central location in Hamburg, Munich and Düsseldorf with good transport links (bus & train), as well as hub locations in all other major German cities
  • Enjoy daily fresh fruit, premium coffee, snacks, soft drinks & after-work beer

Have we caught your interest? Then we look forward to receiving your application!

Contact

Paulina Krzeminski – paulina.krzeminski@eraneos.com

Our top priority is that you fit us and we fit you, regardless of origin, nationality, sexual orientation, religion, gender identity, age, handicap or other aspects of diversity.

Our dedicated HR Team will be happy to provide you with further information and is looking forward to receiving your CV and / or your complete and expressive Linked in profile.

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